Pre_analysis_function: Run the first steps for the gap analysis

In dcarver1/gapAnalysisR: An R package to calculate conservation indicators using species distribution models

Description

Creates initial steps for the gap analysis as folder structure, species folder results and species list names

Usage

Pre_analysis_function(dir, species_csv, run_version)

Arguments

dir	A forder to run the gap analysis including inputs and outputs
species_csv	CSV file name located at /Workspace/parameters/input to be splitted
run_version	The version of the analysis used (e.g 'v1')
Workspace	A forder where the pipeline will be executed

Value

This function run the first steps for the GapAnalysisR pipeline

References

Khoury, C. K., Amariles, D., Soto, J. S., Diaz, M. V., Sotelo, S., Sosa, C. C., … Jarvis, A. (2019). Comprehensiveness of conservation of useful wild plants: An operational indicator for biodiversity and sustainable development targets. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2018.11.016

Examples

Pre_analysis_function(dir,run_version,Workspace,buff_dist,pre_analysis,insitu,exsitu,eooAoo)

 dir  <-  'E:/CIAT/workspace/Workspace_test'
 run_version  <- 'v1'
 species_csv <- 'Cucurbita_CWR_2019_09_30.csv'
 Workspace  <-  'E:/CIAT/workspace/Workspace_test/workspace'

x <- Pre_analysis_function(dir,species_csv,run_version,Workspace)

dcarver1/gapAnalysisR documentation built on Feb. 29, 2020, 12:13 p.m.